Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation performance for high-stakes examinations such as credentialing has not been studied appropriately. T...
The objective of this study was to evaluate the educational impact following the implementation of a robotic thoracic surgery program on cardiothoracic (CT) surgery trainees. We hypothesized that the introduction of a robotic thoracic surgery program...
AIM: To evaluate the role that artificial intelligence (AI) could play in assisting radiologists as the first reader of chest radiographs (CXRs), to increase the accuracy and efficiency of lung cancer diagnosis by flagging positive cases before passi...
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 11, 2021
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...
Ultrasound-guided regional anesthesia involves visualizing sono-anatomy to guide needle insertion and the perineural injection of local anesthetic. Anatomical knowledge and recognition of anatomical structures on ultrasound are known to be imperfect ...
Accepting surgical complications, especially those related to the learning curve, as unavoidable events in colorectal procedures, is like accepting to fly onboard an aircraft with a 10% to 20% chance of not arriving at final destination. Under this c...
Postgraduate training in surgical specialties is one of the longest training programmes in the medical field. Most of the surgical training programmes require 5-6 years of postgraduate training to become qualified. This is usually followed by 1-2 yea...
IMPORTANCE: Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accurac...
Sensor technologies and data collection practices are changing and improving quality metrics across various domains. Surgical skill assessment in Robot-Assisted Minimally Invasive Surgery (RAMIS) is essential for training and quality assurance. The ...
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